Sökning: "On device AI"
Visar resultat 1 - 5 av 41 uppsatser innehållade orden On device AI.
1. Optical Communication using Nanowires and Molecular Memory Systems
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikSammanfattning : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. LÄS MER
2. Challenges for Artificially Intelligent Medical Devices in the Nordics and Suggested Strategies to Respond
Master-uppsats, Lunds universitet/InnovationsteknikSammanfattning : With aging populations, unequal access to care, and shortages of staff, healthcare systems today are facing many challenges. Technology advancements, with artificial intelligence (AI) in particular, have been one of the main drivers of innovation in multiple industries. LÄS MER
3. Exploring a Wearable Technology for Enhanced Learning : - a design concept
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This paper is an explorative interaction design study focusing on the development of a wearable device for enhanced learning of bodily skills. It uses a variation of technology scouting and matchmaking to explore possible technologies related to assistive technology for learning. LÄS MER
4. Low-power Implementation of Neural Network Extension for RISC-V CPU
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER
5. Design and development of an interface between the user and the tendo device
Master-uppsats, Lunds universitet/InnovationSammanfattning : When a↵ected by a high spinal cord injury the first wish is to regain the ability to walk. However, in a short matter of time, the wish to use the hands increases and is considered the most desired ability to recover. LÄS MER